Data Engineer - Microsoft Fabric & AI Platform

Coesia; Bologna; On-site; EUR 36,000 - 45,000; Full time

Job summary

Coesia in Bologna seeks a hands-on Data Engineer to design, develop, and evolve our Data Platform built on Microsoft Fabric. You will join the BI, Data & Analytics team and contribute to moving Coesia toward a data-driven organization by delivering scalable data solutions across the Microsoft ecosystem.

You will implement data pipelines, governance, and security, collaborate with internal and external teams, and ensure quality, performance, and governance of data assets while leveraging SQL,

Qualifications

• 2–4 years of experience as a Data Engineer or Analytics Engineer.
• Master's Degree in Computer Science or Computer Engineering.
• Knowledge of Microsoft Fabric components (Data Engineering, Lakehouse, Data Warehouse, Data Factory, Power BI).

Responsibilities

• Design, develop, and maintain end-to-end data pipelines on Microsoft Fabric.
• Define scalable data architectures and data models for BI, Analytics, ML, and AI.
• Establish Fabric as the Data & AI backbone with secure data access.
• Develop data integration solutions using SQL, Python, Spark/PySpark, and Fabric components.
• Manage the application lifecycle through Azure DevOps (repos, CI/CD, deployment).
• Implement Data Governance covering Quality, Catalog, Glossary, Lineage, MDM, Privacy, Security.
• Translate business requirements into scalable solutions and monitor quality and performance.

Skills

SQL

Python

Spark/PySpark

Data Modelling

ETL/ELT

Education

Master's Degree in CS or Computer Engineering

Tools

Microsoft Fabric

Azure DevOps

Power BI

Git

Job description

Coesia in Bologna seeks a hands-on Data Engineer to design, develop, and evolve our Data Platform built on Microsoft Fabric. You will join the BI, Data & Analytics team and contribute to moving Coesia toward a data-driven organization by delivering scalable data solutions across the Microsoft ecosystem.

You will implement data pipelines, governance, and security, collaborate with internal and external teams, and ensure quality, performance, and governance of data assets while leveraging SQL,